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Master's Degree in Electrical Energy Converion and Power Systems Master Course
MCEESP02-2-008
Power Systems in Hybrid (HEV) and Electric Vehicles (EV)
General description and schedule Teaching Guide

Coordinator/s:

FERNANDO BRIZ DEL BLANCO
fbrizuniovi.es
FRANCISCO MANUEL FERNANDEZ LINERA
linerauniovi.es

Faculty:

There are no teachers for this course

Contextualization:

The Master’s degree:

The main goal of the Master’s Degree in “Electrical Energy Conversion and Power Systems” (EECPS Master) is the training of qualified staff in areas related to electrical energy management, with emphasis on power systems for renewable energies. The Master presents a double approach: scientific and professional. In the scientific thread, training focuses on two main applications: Electrical Power Systems and Electrical and Hybrid Traction Systems. On the other hand, in the professional thread, training is focused on the management of electrical energy. Thus, the subjects of this thread have been designed aiming at two main objectives (goals), such as the management of energy in large consumers and the generation and transmission of electrical energy in a liberalized market. Three main lines have been considered as keystones in the Master:

  • Electrical Power Systems
  • Electrical and Hybrid Vehicles
  • Energy Efficiency and Renewable Energies

The third semester: The third term has been designed according to two possible tracks: professional and research. The first one is focused on the acquisition of the required competences for the management of electric energy, with a special emphasis on energy efficiency and renewable energies. The second track approaches the technology development and the industrial design established in the specific competences of the master lines: "Power systems" and "Electric / Hybrid vehicle".

The subject: This subject is intended to provide the student the basic knowledge on the design and operation of HEV and EV, with special focus the power electronics and machine design and control issues. Auxiliary electric systems present in HEV and EV as well as communications issues will also be covered. Energy storing and simulation of HEV and EV will be covered in detail in other subjected, not being therefore key topics for this subject.

Requirements:

It is highly recommended to keep the schedule of this course as it appears in the program guide (verification report). Particularly, the student is expected to have taken the following subjects: Electric Machines for generation and traction, Dynamic analysis and modeling of electrical machines, Control of electromechanical systems, Dynamic control of AC machines, Power electronics circuits. The contents of this subject will be further complemented by another two subjects in the topic of HEV and EV: Energy storing and recovering in power systems and HEV and EV, Applied simulation to HEV/EV

Competences and learning results:

Basic Competences:

 

CB6     Be original in the development and application of ideas, within a research environment.

 

CB7     Solution of problem in new and unfamiliar multidisciplinary environments, related to its knowledge area.

 

CB8     Integration of knowledge, facing the complexity of issuing judgments and sentences parting from some information that includes ethic and social liability constraints.

 

CB9     Ability of communicating justified decisions and conclusions, to specialized and unspecialized listeners.

 

CB10   Ability of autonomous learning.

 

 

Generic Competences:

 

CG5    Critical analysis of the information coming from sensing and instrumentation subsystems.

 

CG6    Asses the risks of the use of electrical energy, as well as those of industrial installations, understanding the necessity of safety elements, protections and signalling in power systems.

 

CG7    Practical and experimental verification of monitoring and controlling electrical energy conversion systems, including safety operation of electric systems

 

CG9    Skills related to teamwork, recognizing different roles within a group and different ways of organizing research teams.

 

CG10  Ability to manage information: search, analysis and synthesis of the specific technical information.

 

CG11  Ability to assimilate and communicate information in English concerning technical

 

CG12  Ability to plan and organize work

 

CG13  Skills for critical reasoning, making decisions and making judgments based on information that include reflecting on social and ethical responsibilities of professional activity

 

CG14  Concern for quality and achievement motivation

 

 

Specific Skills

 

CE10   Understanding the fundamental characteristics, as well as advantages and drawbacks of electrical and hybrid traction systems compared to combustion engines

 

CE11   Acquire the knowledge of power electronics needed to analyse and design electrical and hybrid traction systems

 

CE12   Ability to understand the importance and particular issues of the control and monitoring systems used in electrical and hybrid traction systems (for the Scientific – Technological Research Strand only)

 

CE13   Ability to understand how the different auxiliary systems and sub-systems (lighting and signalling, navigation, communications, etc.) are integrated into the EV/HEV, and how do they constrain the design of the whole system (for the Scientific – Technological Research Strand only)

 

CE14   Ability to understand the necessity for systems and strategies of energy storage and recovery in electrical and hybrid vehicles (for the Scientific – Technological Research Strand only)

 

CE15   Ability of understanding the concepts, strategies and power transmission systems involved in the design of the electrical and hybrid vehicle (for the Scientific – Technological Research Strand only)

 

 

Learning Outcomes:

 

RA123 Knowing power topologies for EV / HEV.

 

RA124 Selection of traction machines commonly used in electric traction and analyze the implications for the design of the whole system.

 

RA125 To understand the control strategies of power systems of the EV / HEV.

 

RA126 To analyze the different architectures and hybrid electric vehicles, with special emphasis on implications for the power system.

 

RA127 To know auxiliary systems and their relation to vehicle power systems.

Contents:

  1. Overview of electric machine drive requirements for HEV and EV applications

  2. Types of electric machines and which ones best match HEV and EV applications requirements

  3. Power electronics for HEV and EV's, including component choices

  4. Control requirements and algorithms for HEV and EV's

  5. Future trends

  6. Basics: why HEV/EV/PHEV, constituents of a HEV/EV/PHEV

  7. EV: configurations

  8. Series hybrid & Parallel hybrid (pre-transmission/post-transmission/through the road)

  9. HEV: planetary gears, powertrain concepts, continuous variable transmission, modes of operation

  10. PHEV: Architectures, power management, vehicle to grid technology

  11. Electronic Control Units (ECUs) Distribution Electronic Control Units (ECUs) Distribution

  12. Supply Circuits for ECUs

  13. Circuits for ECU input/outputs

  14. Application examples

  15. Regulations

Methodology and work plan:

Learning methodology:

As it can be observed in the next table, the numbers of hours assigned to this course are divided in “In-class work” and “homework”. Among the “in-class work” hours are divided in lectures, seminars, laboratory, group tutoring and evaluation sessions. Professor will use to expound the theoretical basis of the subject. However, active learning methods such as “class discussions”, “think-pare-share”, “short written exercises“ or ”student debates” will be applied in order to keep an active attitude.  Concepts stated in lectures must be applied to solve different types of problems or developing computer projects in seminars or computer lab respectively.  The group tutoring sessions will be used to discuss about the theoretical concepts explained in lectures or their application seminars or computer lab.

Exceptionally, in the event that health conditions require it, non-attendance teaching activities may be included. In this case, students will be informed of the changes made.

 

 

Hours per topic:

 

 

PRESENTIAL WORK

NON-PRESENTIAL WORK

 

Themes

Total hours

Lectures

Class practice / Seminars

Laboratory practice / field / computer / language

Clinic practice

Group Tutoring

internships

Evaluation Sessions

Total

Group work

Autonomous Work

Total

Theme 1

3.4

1.2

0

0

0

0

0

0

1.2

0

2.2

2.2

Theme 2

3.4

1.2

0

0

0

0

0

0

1.2

0

2.2

2.2

Theme 3

3.4

1.2

0

0

0

0

0

0

1.2

0

2.2

2.2

Theme 4

3.45

1.25

0

0

0

0

0

0

1.25

0

2.2

2.2

Theme 5

3.45

1.25

0

0

0

0

0

0

1.25

0

2.2

2.2

Theme 6

6.45

1.5

0

0

0

0.75

0

0.2

2.45

0

4

4

Theme 7

10.4

2

1.2

0

0

0

0

0.2

3.4

2

5

7

Theme 8

8.45

1.5

0

0.75

0

0

0

0.2

2.45

0

6

6

Theme 9

18.1

3.5

1.2

1.2

0

0

0

0.2

6.1

3

9

12

Theme 10

18.1

3.5

1.2

1.2

0

0

0

0.2

6.1

3

9

12

Theme 11

25.4

5

2

0

0

1.2

0

0.2

8.4

6

11

17

Theme 12

10.2

2

0

0

0

0

0

0.2

2.2

3

5

8

Theme 13

10.2

2

0

0

0

0

0

0.2

2.2

3

5

8

Theme 14

16.4

2

1.2

0

0

0

0

0.2

3.4

3

10

13

Theme 15

9.2

2

0

0

0

0

0

0.2

2.2

2

5

7

Total

150

31.1

6.8

3.15

0

1.95

0

2

45

25

80.3

105

                           

 

 

MODES

Hours

%

Total

Presential

Lectures

31.1

51.8

45

 

Class practice / Seminars

6.8

15

 

 

Laboratory practice / field / computer / languages

3.16

5.25

 

 

Clinic practice

0

0

 

 

Group tutoring

1.95

3.25

 

 

Internships (in external companies or institutions)

0

0

 

 

Evaluation sessions

2

3.33

 

Non-presential

Group work

25

27.8

105

 

Autonomous work

80.3

89.2

 

 

Total

150

 

 

 

 

Time Schedule:

 

Once the contents and the hours per topic are decided, a chronogram will be done.

Assessment of students learning:

The minimum/maximum percentages as established in the programme guide (verification report) are shown below:

 

Evaluation systems

Minimum percentage

Maximum percentage

Written tests (objective tests, short answer tests and / or test development)

15%

40%

Oral tests (individual, group, presentation of topics/projects, etc.)

15%

40%

Works or projects

20%

50%

Observation Techniques (logs, checklists, etc.)

10%

30%

Task Performance Tests Real and / or Simulated

10%

20%

 

For this subject, the exact percentages have been determined as described below.

The students will be evaluated according to these percentages referred to the final grade:

  • Written exam at the end of classes: 40%. A minimum score of 4/10 is needed to pass the subject.
  • Assignment to be presented before the final exam: 25% documentation + 15% presentation. The project will consist in a report 8 pages length and a short presentation (15’). The project could include topics from all the topics include in this guide. A minimum score of 4/10 is needed to pass the subject.
  • Computer homework: 10%. Homework will consist in the simulation of electromechanical systems control using Matlab (although you are welcome to use another simulation tool if it works better for you).
  • Attendance to lectures and active participation will be graded up to 10%.

Exceptionally, in the event that health conditions require it, non-presential evaluation methods may be included. In this case, the student body will be informed of the changes made.

Resources, bibliography and documentation:

  • Hybrid Electric Vehicles: Principles and Applications with Practical Perspectives, Chris Mi, M. Abul Masrur, David Wenzhong Gao, Siley, 2011
  • Modern Electric, Hybrid Electric, and Fuel Cell Vehicles: Fundamentals, Theory, and Design, Mehrdad Ehsani, Yimin Gao, Sebastien E. Gay, Ali Emadi, CRC Press, Power Electronics and Applications Series , 2005
  • Electric and Hybrid Vehicles: Design and Fundamentals, Iqbal Husain, CRC Press, 2005
  • Handbook of Automotive Power Electronics and Motor Drives, Ali Emadi, Taylor and Francis, 2005
  • AUTOMOBILE ELECTRICAL AND ELECTRONIC SYSTEMS. Tom Denton. Editorial SAE International.
  • MULTIPLEXED NETWORKS FOR EMBEDDED SYSTEMS: CAN, LIN, FlexRay, Safe-by-wire, Dominique Paret. Editorial Wiley.
  • AUTOMOTIVE COMPUTER CONTROLLED SYSTEMS. Allan Bonnick. Editorial Butterworth-Heinemann
  • AUTOMOTIVE EMBEDDED SYSTEMS HANDBOOK. Nicolas Navet & Francoise Simonot-Lion. Editorial CRC Press